Search for dissertations about: "Transfer Learning"
Showing result 21 - 25 of 184 swedish dissertations containing the words Transfer Learning.
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21. Brain-based teaching : behavioral and neuro-cognitive evidence for the power of test-enhanced learning
Abstract : A primary goal of education is the acquisition of durable knowledge which challenges the use of efficient pedagogical methods of how to best facilitate learning. Research in cognitive psychology has demonstrated that repeated testing during the learning phase improves performance on later retention tests compared to restudy of material. READ MORE
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22. Transfer Learning using low-dimensional Representations in Reinforcement Learning
Abstract : Successful learning of behaviors in Reinforcement Learning (RL) are often learned tabula rasa, requiring many observations and interactions in the environment. Performing this outside of a simulator, in the real world, often becomes infeasible due to the large amount of interactions needed. READ MORE
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23. Data-Efficient Representation Learning for Grasping and Manipulation
Abstract : General-purpose robotics require adaptability to environmental variations and, therefore, need effective representations for programming them. A common way to acquire such representations is through machine learning. Machine learning has shown great potential in computer vision, natural language processing, reinforcement learning, and robotics. READ MORE
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24. Outsourcing of Organizational Routines : Knowledge, control, and learning aspects
Abstract : Organizational routines that are critical to learning, flexibility, and adaptation explain the behaviour of the business organization. When organizational routines cross the boundary of the organization, variability and stability are affected. READ MORE
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25. Contributions to deep learning for imaging in radiotherapy
Abstract : Purpose: The increasing importance of medical imaging in cancer treatment, combined with the growing popularity of deep learning gave relevance to the presented contributions to deep learning solutions with applications in medical imaging.Relevance: The projects aim to improve the efficiency of MRI for automated tasks related to radiotherapy, building on recent advancements in the field of deep learning. READ MORE